Triple

T17277021
Position Surface form Disambiguated ID Type / Status
Subject Nichola de la Haye E419418 entity
Predicate familyName P18 FINISHED
Object de la Haye
De la Haye is a Norman-origin surname historically associated with medieval English nobility and officials.
 E1260786 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: de la Haye | Statement: [Nichola de la Haye, familyName, de la Haye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: de la Haye
Context triple: [Nichola de la Haye, familyName, de la Haye]
  • A. La Haye
    La Haye is a small hamlet in Belgium best known for its proximity to key positions on the Waterloo battlefield.
  • B. The Hague
    The Hague is a major Dutch city known as the seat of the Netherlands’ government and home to numerous international courts and organizations, including the International Court of Justice.
  • C. Duivendrecht
    Duivendrecht is a village in North Holland, Netherlands, situated just southeast of Amsterdam and known for its important railway junction and commuter links.
  • D. Delff
    Delff is a Dutch surname historically associated with a family of artists and engravers from the Netherlands.
  • E. Hague
    Hague is a British Conservative politician and life peer who served as Leader of the Opposition and later as Foreign Secretary of the United Kingdom.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: de la Haye
Triple: [Nichola de la Haye, familyName, de la Haye]
Generated description
De la Haye is a Norman-origin surname historically associated with medieval English nobility and officials.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: de la Haye
Target entity description: De la Haye is a Norman-origin surname historically associated with medieval English nobility and officials.
  • A. La Haye
    La Haye is a small hamlet in Belgium best known for its proximity to key positions on the Waterloo battlefield.
  • B. The Hague
    The Hague is a major Dutch city known as the seat of the Netherlands’ government and home to numerous international courts and organizations, including the International Court of Justice.
  • C. Duivendrecht
    Duivendrecht is a village in North Holland, Netherlands, situated just southeast of Amsterdam and known for its important railway junction and commuter links.
  • D. Delff
    Delff is a Dutch surname historically associated with a family of artists and engravers from the Netherlands.
  • E. Hague
    Hague is a British Conservative politician and life peer who served as Leader of the Opposition and later as Foreign Secretary of the United Kingdom.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d886da626481908a14ce7830329a35 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e43326ec908190934a858c30cca880 completed April 19, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01794f6cf481909d76e3d61f9888c5 completed May 11, 2026, 6:38 a.m.
NEDg Description generation batch_6a017b5abdc481909832a6e46d21b34b completed May 11, 2026, 6:46 a.m.
NED2 Entity disambiguation (via description) batch_6a017bcf8a6081908922f5ef2673abae completed May 11, 2026, 6:48 a.m.
Created at: April 10, 2026, 5:40 a.m.